---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50-dc5
tags:
- generated_from_trainer
model-index:
- name: detr-resnet-50-dc5-fashionpedia-finetuned
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# detr-resnet-50-dc5-fashionpedia-finetuned

This model is a fine-tuned version of [facebook/detr-resnet-50-dc5](https://huggingface.co/facebook/detr-resnet-50-dc5) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3859
- Map: 0.0
- Map 50: 0.0
- Map 75: 0.0
- Map Small: 0.0
- Map Medium: 0.0
- Map Large: 0.0
- Mar 1: 0.0
- Mar 10: 0.0
- Mar 100: 0.0
- Mar Small: 0.0
- Mar Medium: 0.0
- Mar Large: 0.0
- Map Aortic enlargement: 0.0
- Mar 100 Aortic enlargement: 0.0
- Map Atelectasis: -1.0
- Mar 100 Atelectasis: -1.0
- Map Calcification: -1.0
- Mar 100 Calcification: -1.0
- Map Cardiomegaly: 0.0
- Mar 100 Cardiomegaly: 0.0
- Map Ild: 0.0
- Mar 100 Ild: 0.0
- Map Infiltration: -1.0
- Mar 100 Infiltration: -1.0
- Map Lung opacity: 0.0
- Mar 100 Lung opacity: 0.0
- Map Nodule/mass: 0.0
- Mar 100 Nodule/mass: 0.0
- Map Other lesion: 0.0
- Mar 100 Other lesion: 0.0
- Map Pleural effusion: 0.0
- Mar 100 Pleural effusion: 0.0
- Map Pleural thickening: 0.0
- Mar 100 Pleural thickening: 0.0
- Map Pulmonary fibrosis: 0.0
- Mar 100 Pulmonary fibrosis: 0.0

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Map | Map 50 | Map 75 | Map Small | Map Medium | Map Large | Mar 1 | Mar 10 | Mar 100 | Mar Small | Mar Medium | Mar Large | Map Aortic enlargement | Mar 100 Aortic enlargement | Map Atelectasis | Mar 100 Atelectasis | Map Calcification | Mar 100 Calcification | Map Cardiomegaly | Mar 100 Cardiomegaly | Map Ild | Mar 100 Ild | Map Infiltration | Mar 100 Infiltration | Map Lung opacity | Mar 100 Lung opacity | Map Nodule/mass | Mar 100 Nodule/mass | Map Other lesion | Mar 100 Other lesion | Map Pleural effusion | Mar 100 Pleural effusion | Map Pleural thickening | Mar 100 Pleural thickening | Map Pulmonary fibrosis | Mar 100 Pulmonary fibrosis |
|:-------------:|:------:|:----:|:---------------:|:---:|:------:|:------:|:---------:|:----------:|:---------:|:-----:|:------:|:-------:|:---------:|:----------:|:---------:|:----------------------:|:--------------------------:|:---------------:|:-------------------:|:-----------------:|:---------------------:|:----------------:|:--------------------:|:-------:|:-----------:|:----------------:|:--------------------:|:----------------:|:--------------------:|:---------------:|:-------------------:|:----------------:|:--------------------:|:--------------------:|:------------------------:|:----------------------:|:--------------------------:|:----------------------:|:--------------------------:|
| No log        | 2.7778 | 50   | 4.7519          | 0.0 | 0.0    | 0.0    | 0.0       | 0.0        | 0.0       | 0.0   | 0.0    | 0.0     | 0.0       | 0.0        | 0.0       | 0.0                    | 0.0                        | -1.0            | -1.0                | -1.0              | -1.0                  | 0.0              | 0.0                  | 0.0     | 0.0         | -1.0             | -1.0                 | 0.0              | 0.0                  | 0.0             | 0.0                 | 0.0              | 0.0                  | 0.0                  | 0.0                      | 0.0                    | 0.0                        | 0.0                    | 0.0                        |
| 5.3816        | 5.5556 | 100  | 4.3859          | 0.0 | 0.0    | 0.0    | 0.0       | 0.0        | 0.0       | 0.0   | 0.0    | 0.0     | 0.0       | 0.0        | 0.0       | 0.0                    | 0.0                        | -1.0            | -1.0                | -1.0              | -1.0                  | 0.0              | 0.0                  | 0.0     | 0.0         | -1.0             | -1.0                 | 0.0              | 0.0                  | 0.0             | 0.0                 | 0.0              | 0.0                  | 0.0                  | 0.0                      | 0.0                    | 0.0                        | 0.0                    | 0.0                        |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3